Fast Algorithms for Temporal Association Rules in a Large Database

Lu Na Byon, Jeong Hye Han · Key engineering materials · 2005

As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests. In this article, we propose a temporal association rule and its discovering algorithm with exponential smoothing filter in a large transaction database. Through experimental results, we confirmed that this is more precise and consumes a shorter running time than existing temporal association rules.

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